Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and ...

Find hidden patterns, classify search intent, spot trends, and prioritize SEO opportunities without digging through thousands ...

Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...

There’s nothing quite like a room full of people who love data as much as you do. We can’t wait to reconnect with this community in Barcelona. The European Microsoft Fabric + SQL Community Conference ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

Azure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer to #20691 Azure Cosmos DB is a globally distributed, multi-model database ...

Abstract: Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output ...

Large Language Models (LLMs) are transforming how users approach tasks related to searching, interacting with, and generating new content. These advanced language models have garnered immense ...